Updated 25 Apr 2020
This package includes MATLAB scripts that help you design a poker player using MATLAB, Deep Learning, and Raspberry Pi. The poker-playing algorithm consists of a deep learning network that predicts the cards, and a custom MATLAB algorithm that identifies ranked hands from the predictions and then makes bets like an actual player would. The algorithm can finally be deployed to a Raspberry Pi hardware.
For a detailed demonstration of the application, visit this link:
Meeshawn Marathe (2023). Deep_Learning_Poker_Player_using_MATLAB_and_Raspberry_Pi (https://github.com/mathworks/Deep_Learning_Poker_Player_Using_MATLAB_and_Raspberry_Pi/releases/tag/1.1.0), GitHub. Retrieved .
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Versions that use the GitHub default branch cannot be downloaded
See release notes for this release on GitHub: https://github.com/mathworks/Deep_Learning_Poker_Player_Using_MATLAB_and_Raspberry_Pi/releases/tag/1.1.0
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